• Python, Spark, SQL, and cloud data platforms. • Azure, Palantir Foundry • data APIs, AI/ML pipelines knowledge
Valuable-to-Have Data Science
SN Responsibility of / Expectations from the Role
- Build and maintain end-to-end ML pipelines (training, validation, model registry, deployment) using tools like Azure, Palantir Foundry or similar platforms. • Design and build scalable data pipelines for feature engineering, model training, and real-time/batch inference using Python, Spark, SQL, and cloud data platforms. • Operationalize AI/ML workflows by integrating models with data APIs, AI/ML pipelines, and production-grade ML engineering practices. • Optimize model performance & data quality through experimentation, validation, monitoring, and automated testing. • Collaborate with data scientists & MLOps to translate prototypes into reliable, production-ready AI/ML